Attention module improves both performance and interpretability of four‐dimensional functional magnetic resonance imaging decoding neural network
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.25813
Abstract: Decoding brain cognitive states from neuroimaging signals is an important topic in neuroscience. In recent years, deep neural networks (DNNs) have been recruited for multiple brain state decoding and achieved good performance. However, the open… read more here.
Keywords: four dimensional; brain; attention module; attention ... See more keywords
A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104837
Abstract: Coronavirus disease 2019 (COVID-19) has caused more than 3 million deaths and infected more than 170 million individuals all over the world. Rapid identification of patients with COVID-19 is the key to control transmission and… read more here.
Keywords: depthwise separable; attention module; network; block attention ... See more keywords
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101883
Abstract: Motion artifacts are a major factor that can degrade the diagnostic performance of computed tomography (CT) images. In particular, the motion artifacts become considerably more severe when an imaging system requires a long scan time… read more here.
Keywords: motion; attention module; attention; model ... See more keywords
Attention Network for Non-Uniform Deblurring
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997408
Abstract: Recently, image deblurring task is valuable and challenging in computer vision. However, existing learning-based methods can not produce satisfactory results, such as lacking of salient structures and fine details. In this paper, we propose a… read more here.
Keywords: attention network; attention module; attention; non uniform ... See more keywords
ResAt-UNet: A U-Shaped Network Using ResNet and Attention Module for Image Segmentation of Urban Buildings
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3238720
Abstract: Architectural image segmentation refers to the extraction of architectural objects from remote sensing images. At present, most neural networks ignore the relationship between feature information, and there are problems such as model overfitting and gradient… read more here.
Keywords: network; image segmentation; resat unet; attention module ... See more keywords
Crop Classification of Multitemporal PolSAR Based on 3-D Attention Module With ViT
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3270488
Abstract: Multitemporal polarimertic SAR is considered to be very effective in crop classification and cultivated land detection, which has received much attention from researchers. Currently, for most multitemporal polarimetric SAR data classification methods, the simultaneous temporal–polarimetric–spatial… read more here.
Keywords: classification; attention module; crop classification; attention ... See more keywords
Hybrid Attention Compression Network With Light Graph Attention Module for Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3275948
Abstract: In recent years, the impressive feature representation capabilities of deep learning have opened up new possibilities for image compression. Most of the existing learning-based image compression techniques rely on convolutional neural networks (CNNs) to obtain… read more here.
Keywords: hybrid attention; network; remote sensing; attention module ... See more keywords
A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3247433
Abstract: Heart sound analysis plays an important role in early detecting heart disease. However, manual detection requires doctors with extensive clinical experience, which increases uncertainty for the task, especially in medically underdeveloped areas. This paper proposes… read more here.
Keywords: classification; heart sound; heart; attention module ... See more keywords
Large-Scale Image Retrieval with Deep Attentive Global Features
Sign Up to like & getrecommendations! Published in 2022 at "International journal of neural systems"
DOI: 10.1142/s0129065723500132
Abstract: How to obtain discriminative features has proved to be a core problem for image retrieval. Many recent works use convolutional neural networks to extract features. However, clutter and occlusion will interfere with the distinguishability of… read more here.
Keywords: attention; feature map; image retrieval; attention module ... See more keywords
An Improved YOLO Algorithm for Fast and Accurate Underwater Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.2139/ssrn.4079287
Abstract: Due to the abundant natural resources of the underwater world, autonomous exploration using underwater robots has become an effective technological tool in recent years. Real-time object detection is critical when employing robots for independent underwater… read more here.
Keywords: yolov4 tiny; detection; object detection; attention module ... See more keywords
LCAM: Low-Complexity Attention Module for Lightweight Face Recognition Networks
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11071694
Abstract: Inspired by the human visual system to concentrate on the important region of a scene, attention modules recalibrate the weights of either the channel features alone or along with spatial features to prioritize informative regions… read more here.
Keywords: low complexity; face recognition; complexity attention; attention module ... See more keywords